The verdict in three sentences
A hospitality group receiving 3,000 job applications a month cannot read them all properly: good candidates wait, then join a competitor. AI pre-screening saves over 80 % of screening time, provided the decision stays human, because the EU AI Act classes recruitment AI as high risk and GDPR restricts fully automated decisions. The project usually sits in Kolonell's simple or medium tier and ships in 6 to 10 weeks.
The seasonal hiring bottleneck
Take a group of 22 restaurants and bars in London or Dublin, with 450 permanent staff and 250 to 300 seasonal hires each summer. From March to July, HR receives about 3,000 applications a month through the careers site, job boards, email and social media. Roles: commis chefs, waiting staff, kitchen porters, section leaders, bartenders.
Proper screening takes 15 minutes per application: reading the CV, checking availability, experience, right to work and commute, replying to the candidate. For 3,000 applications that is 750 hours a month, far beyond a 3-person HR team.
| Monthly metric in season | Manual screening (2026 estimate) | AI pre-screening plus human sign-off |
|---|---|---|
| Applications received | 3,000 | 3,000 |
| Screening time per application | 15 min | 2 to 3 min (summary review) |
| Screening hours per month | 750 h | 100 to 150 h |
| Time to first reply | 5 to 15 days | 24 to 48 h |
| Applications never answered | 40 to 60 % | under 5 % |
| Roles filled by 1 June | 60 to 70 % | 85 to 95 % |
| AI cost per application | 0 | 0.02 to 0.07 GBP / 0.02 to 0.08 EUR |
In hospitality, speed of reply matters most: an experienced server available in May often gets three offers within a week.
What the rules actually require
In Dublin, the EU AI Act lists AI systems used to analyse and filter job applications in Annex III as high risk. Deployer obligations apply from August 2026, subject to timeline adjustments under discussion at EU level. In London, the AI Act does not apply directly, but UK GDPR, the ICO's guidance on AI in recruitment and the Equality Act 2010 impose similar safeguards. GDPR Article 22 on automated decisions applies in both.
| Requirement | Source | How the tool implements it |
|---|---|---|
| Effective human oversight | EU AI Act high risk, ICO guidance | no rejection without recruiter sign-off |
| Candidate information | GDPR and UK GDPR | clear notice on careers site and acknowledgement |
| No fully automated decision | Article 22 GDPR and UK GDPR | AI ranks and summarises, a human decides |
| Objective, non-discriminatory criteria | Equality Act 2010, Irish Employment Equality Acts | grid based on availability, experience, skills |
| Logging | EU AI Act | score and decision history retained |
| Impact assessment | DPIA under GDPR | written before go-live |
| Retention period | GDPR, regulator guidance | set in policy, typically 6 to 24 months, then deletion |
In practice, the AI does not use photo, age, exact address or name for scoring. It extracts availability, previous roles, years of experience, languages and right to work, then produces a 5-line summary and sorts applicants into three groups: contact, review, does not meet role criteria. The recruiter signs off each group, and a sample of the third group is reviewed weekly to detect bias.
Budget and timeline
On Kolonell's 2026 grid, a pre-screening module connected to the careers site and an inbox, with a sign-off board and automatic acknowledgements, fits the simple tier (2,500,000 to 4,000,000 FCFA, i.e. 3,810 to 6,100 EUR). Adding several job board feeds, interview booking per venue and a compliance dashboard moves it to medium (4,000,000 to 7,000,000 FCFA, i.e. 6,100 to 10,670 EUR). End-to-end hiring with HRIS and payroll integration is complex (7,000,000 to 15,000,000+ FCFA, i.e. 10,670 to 22,870+ EUR).
Typical timeline is 6 to 10 weeks, ideally started in January to be ready before the March peak. Maintenance follows the 35,000, 75,000 or 120,000 FCFA per month grid (53, 114 or 183 EUR). For comparison, an off-the-shelf applicant tracking system with AI features costs, as a 2026 order of magnitude, 250 to 1,000 GBP or 300 to 1,200 EUR a month for a group this size.
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Mini case study
Aoife, HR director of a 22-venue group in Dublin, spent 750 hours a month on screening over a 5-month season, partly with agency temps at 30 EUR an hour fully loaded. With AI, 130 hours remain: 620 hours saved a month, or 18,600 EUR, and 93,000 EUR over the season. AI usage costs 3,000 × 0.05 EUR, so 150 EUR a month. Roles filled by June rise from 65 % to 90 %, cutting overtime paid to understaffed teams. Against a medium-tier project at most 10,670 EUR, the investment is covered in the first month of the season.
FAQ
Can the AI reject a candidate on its own?
No, and it should not: GDPR Article 22 and the AI Act require human involvement. The tool ranks and summarises, the recruiter decides, and every decision is logged for the retention period, typically up to 24 months.
How do we avoid discrimination bias?
Criteria are objective and job-related: availability, experience, skills. Age, photo, name and exact address are excluded from scoring, and 10 % of screened-out files are reviewed weekly.
Do we have to tell candidates?
Yes. A clear notice on the careers site and in the acknowledgement explains that AI assists screening and that a human decides. Candidates can ask for a review.
What does the AI cost per use?
0.02 to 0.08 EUR per application depending on CV length and model. For 3,000 applications, about 60 to 240 EUR a month.
Who is accountable in an audit?
The group, as employer and deployer of the system. We deliver the technical documentation, a DPIA prepared with your DPO and the decision logs to support an audit by the Irish Data Protection Commission or the ICO.
Let's scope your project. We define with your HR director and DPO the screening criteria, human oversight safeguards and integrations, for go-live in 6 to 10 weeks. Detailed quote within 48 h. WhatsApp +221 77 596 93 33.
Mohamed Bah
Fondateur, Kolonell
Passionate about digital and entrepreneurship in Africa, Mohamed has been helping Sénégalese businesses with their digital transformation since 2020. Founder of Kolonell, he believes every SME deserves a professional and accessible online présence.

